---
title: "Choosing a BI tool when per-user licensing is the problem"
canonical: "https://www.owox.com/blog/articles/choose-bi-tool-per-user-licensing"
updated: "2026-10-16"
---

# How to choose a BI tool when per-user licensing is the problem

A BI lead whose stakeholders dislike the tool and the per-user price wants to know what to switch to, and on what criteria. This guide gives the criteria in the order to apply them, how the licensing models differ without the price list, what 154 practitioner comments said actually decides the purchase, and a rule for telling whether a new tool fixes the cost or only moves it.

[Analytics Tools](/blog/topics/analytics-tools) · Updated October 16, 2026 · 10 min read

![How to choose a BI tool when per-user licensing is the problem](https://cdn.owox.ai/www/content-marketing-article/choose-bi-tool-per-user-licensing/thumbnail/2-8zjz2r.png/public)

> _“My stakeholders dislike Tableau. They dislike the design and the pricing model (license per user, not so cheap).”_ – a BI lead on r/BusinessIntelligence, July 2026

If that is you, two numbers decide whether a new tool helps: **how many people need a seat** to see a number, and **how many of your metric definitions live inside the tool**. Count both before you compare vendors. When most seats belong to people who only read a number, and most definitions sit in workbooks, a switch moves the bill and the rework to a new place and leaves the problem where it was.

The rest of this guide gives the criteria in the order to apply them, what each licensing model charges for, and what practitioners say really decides the purchase. It names no winner and carries no feature matrix.

## What a per-user licence charges for

Per-user pricing charges for a person. So the more people use the tool, the more you pay, even though more people using it was the goal. The vendors’ own pricing pages, read on 16 October 2026, show four models. Prices change, so this list gives the model, not the number.

*   **Role-based seats.** Tableau sells Creator, Explorer and Viewer licences, and the page adds: “Every deployment requires at least one Creator license.”
*   **Per-user seats with a free author.** Power BI’s free account can build reports, but its pricing page says “Upgrade to Pro or Premium to share reports”. Sharing is what costs.
*   **Capacity.** Both vendors offer it. Microsoft’s footnote: “Enabling content consumers to review and interact with Power BI reports without additional paid per-user licenses is available at P1 and above (and F64 and above).” Tableau says “Contact Sales for capacity-based pricing options.”
*   **Bundled.** Power BI Pro is “Included in Microsoft 365 E5 and Office 365 E5”. For many companies the first seat feels free because someone else already paid for it.

The model matters more than the list price. **A tool that charges per reader punishes the people you most want to reach**, the ones who open a report twice a month to check one figure.

## The criteria, in the order to apply them

The order matters because each answer narrows the next question, and the first two decide whether a switch can lower the bill at all.

### 1\. Count who needs a seat

Split your users into three groups and count each:

| Group | What they do | Do they need a BI seat? |
| --- | --- | --- |
| Authors | Build and change reports | Yes |
| Explorers | Filter, drill, build a view of their own | Usually |
| Readers | Look up a number they already know the meaning of | Often not |

Do not guess the split. Your BI tool’s admin console keeps usage data, though how far back it goes depends on the tool and edition, and some keep a short history unless you export it. Count the licensed users who only viewed content over the period you have, and the ones who never opened it. If readers are the largest group, they are the group the bill grows with, and many of them want the figure in a place they already work: a spreadsheet, a chat channel, an email on Monday. If they get it there, from the same written definition, they need no BI seat for it, though that delivery is a setup of its own.

### 2\. Find where your metric definitions live

Count the metrics whose definition exists only inside the BI tool: a calculated field in a workbook, a DAX measure, a LookML dimension. Your tool’s metadata, or its admin and modelling tools, can list them per workbook or model. Each one is a rewrite when you switch, and a place where two reports can quietly disagree before you do. If your definitions already live in the warehouse, in dbt models or views, this count is small and this step is done.

One reply in the Tableau thread described a company paying “$500,000 per year for Tableau” while Power BI Pro already came with its Office 365 licence. When the writer proposed the move, the other developers “freaked out”. The licence was the easy part. A reply in the Power BI thread says why: by the time anyone questions the tool, “there are 400 reports and three people whose job title has “Power BI” in it.” **What has been built on the tool is the switching cost.**

If most definitions live in the tool, moving them out into the warehouse is a project of its own, with an owner and, for a while, two copies to keep in step. Not everything moves. Tableau level-of-detail expressions and table calculations, and DAX measures that depend on filter context, stay in the tool, and so do the reports built on them. The definitions that can live in SQL, such as revenue, orders or active customers, are worth moving before a switch, not after: once every tool reads them from the warehouse, the next switch rebuilds reports but not those definitions.

### 3\. Check how the tool uses AI for building

The asker wanted “AI building capabilities. So developers can build dashboards faster”, and added: “I want AI for building. Not analysing.” Replies named several tools with AI builders. Two questions separate them:

*   **What does the AI build from?** An assistant that writes a chart from raw tables picks its own definition of revenue. One that builds from published, described definitions uses yours.
*   **Can you see what it wrote?** You need the query or the formula behind each new chart, so a reviewer can check it before a stakeholder sees it.

Our own [comparison of AI data analyst tools](/blog/articles/ai-data-analyst-tools-comparison) applies the same two questions to assistants that answer questions rather than build dashboards.

### 4\. Ask what IT will ask

IT will ask how users sign in, who manages permissions, where the data goes, and who hosts it. In the Power BI thread these were reasons to stay: account management “is trivial with Entra”, and free alternatives “require separate hosting, which can be a nightmare to configure in large orgs”. Get those answers before stakeholders fall for a demo.

### 5\. Test the design with your stakeholders’ own report

Design is where the asker’s stakeholders started, and it decides whether anyone opens the reports you pay for. It comes last only because it is the easiest to test. Rebuild one report your stakeholders use every week in each shortlisted tool, with your data, and let them pick. A sample dashboard on demo data tells you nothing about your messiest table.

## The Turning Point

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## Why the criteria usually lose to the bundle

A second thread asked the question from the other side: why companies pay for Power BI “specifically”, wanting “the real reason”, “not a feature list”. We coded every comment with text in both threads, 154 in all, by the topics it raised, whether for or against. One comment can raise several.

| Topic raised | Tableau thread (85 comments) | Power BI thread (69 comments) |
| --- | --- | --- |
| Names another tool to try | 54 | 20 |
| AI for building dashboards | 36 | 2 |
| Microsoft: the stack or the licence | 2 | 28 |
| Data modelling | 11 | 13 |
| It is cheap | 12 | 12 |
| IT, permissions and hosting | 7 | 10 |
| Cost, including growth with users | 13 | 4 |
| Excel | 2 | 7 |
| Existing dashboards and migration | 2 | 5 |
| “Your team is using it wrong” | 10 | 0 |
| A vendor pitching its own product | 11 | 1 |

**The two threads answer different questions.** Asked what to switch to, people named tools: 54 of 85 comments, most often Power BI (8), Qlik (7) and Databricks (7), and 11 were vendors pitching their own product. Asked why companies pay, people named Microsoft: 28 of 69 comments gave the Microsoft stack the company already runs as the reason, and 10 of them said outright that Power BI came with a licence or contract already paid for. The single most upvoted comment in either thread, with 284 votes, was two words: “Microsoft Stack.” One reply put it plainly: “nobody makes the decision. It arrives pre-made.”

AI for building came up in 36 comments in the Tableau thread, where the asker had asked for it, and in two in the Power BI thread. It shows up in what people want from the next tool, not yet in why they bought the current one. Migration came up in only seven comments across both threads, though it is the cost the $500,000 story above shows.

If your company works the way these commenters describe, expect the decision to lean on what is already licensed and what IT already runs, and prepare for it. Your case is strongest when it shows the count from step 1 and the rework from step 2. A comparison of features is weaker, because a tool that is already paid for starts ahead.

## Does switching fix the problem or move it?

Use the two counts from the first two steps:

| Readers are most of your seats | Definitions live in the tool | What a switch does |
| --- | --- | --- |
| Yes | Yes | Moves the problem. You pay for readers again and rewrite every definition |
| Yes | No | Moves part of it: your readers need seats in the new tool too |
| No | Yes | Can help, after you move the definitions out first |
| No | No | A real choice. Compare design, AI building and IT fit |

Our article on [governed self-service analytics](/blog/articles/governed-self-service-analytics) walks through the first row: licences for everyone, a fraction in use, and competing definitions of revenue among those who do use them. A new tool repeats it unless the definitions move first.

## Where OWOX Data Marts fits

[OWOX Data Marts](https://www.owox.com/app-signup) is not a BI tool and does not replace one. It does not draw dashboards and it does not build them with AI, so it answers neither the design question nor step 3.

It helps with the two counts. The analyst writes each definition once, as SQL in your warehouse, and publishes it as a Data Mart in a [data model](/product/data-modeling). Readers then get the number where they already work: a report to [Google Sheets](/product/spreadsheets) or Microsoft Excel, Data Studio, Slack, Microsoft Teams, Google Chat or email. The BI tool stays for the authors and explorers who need it, and because the definitions that live in SQL are no longer inside it, a later switch does not rewrite them. In Google Sheets, the header of the first imported column carries a note with the Data Mart’s name, the time of the latest refresh and a link to the report that writes the range ([Google Sheets destination](https://docs.owox.com/docs/destinations/supported-destinations/google-sheets/)), so a reader can hover one cell to see how fresh the number is and where it came from.

If you need to make the case upstairs, [the forwardable business case for governed self-service](/blog/articles/self-service-analytics-business-case) is written for that reader.

## A worksheet before you sign

| Question | Your answer |
| --- | --- |
| How many authors, explorers and readers do you have today? |  |
| How many readers could get their number in a spreadsheet, chat or email? |  |
| How many metric definitions exist only inside the current tool? |  |
| Who owns each of those definitions, by name? |  |
| What does the new tool’s AI build from, and can you see what it wrote? |  |
| What will IT ask about sign-in, permissions, hosting and data location? |  |
| Which weekly report will your stakeholders rebuild in each shortlisted tool? |  |
| Is the new tool, or a seat in it, already paid for through another contract? |  |

### How we did this

Licensing terms are quoted from the Tableau and Microsoft Power BI pricing pages as read on 16 October 2026; no prices are given because they change. The two Reddit threads are “Looking for Tableau alternatives” (r/BusinessIntelligence, 10 July 2026) and “Why do companies pay so much for Power BI specifically” (r/analytics, 29 August 2026). Their comments were collected on 14 October 2026 and coded by one reader against a fixed list of reasons. A comment could carry several reasons. Two threads are a small sample of who posts on Reddit, not of the market.

## Your New Normal

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*   No AI hallucinations
*   Analyst-governed definitions
*   Every number traces to SQL

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## FAQ

## Frequently Asked Questions

Does OWOX Data Marts replace a BI tool?

OWOX Data Marts sits beside a BI tool rather than replacing it: it does not draw dashboards. The analyst writes each metric definition once as SQL in your warehouse and publishes it as a Data Mart, and readers get the number in Google Sheets, Microsoft Excel, Data Studio, Slack, Microsoft Teams, Google Chat or email. The BI tool stays for the people who build and explore reports.

How can we cut BI licence costs without switching tools?

Start with your usage data: count the licensed users who only viewed content, or never opened it, in the last 90 days. Many of those readers want one number in a place they already work, such as a spreadsheet, a chat channel or a weekly email, and do not need a BI seat if they get it there from the same written definition. Vendors also sell capacity licences, where viewers do not need a paid seat of their own; Microsoft, for example, describes this for Power BI at P1 and above (and F64 and above).

Does switching BI tools fix a high licence bill?

Only if two things are true. If most of your seats go to people who only read a number, a new per-user tool charges for them again. If most of your metric definitions live inside the current tool, every one of them is a rewrite. When both are true, a switch moves the cost and the rework to a new place; serve readers outside the BI tool and move definitions into the warehouse first.

What criteria should we use to choose a BI tool?

Apply them in this order: count who needs a seat (authors, explorers and readers), count the metric definitions that live only inside your current tool, check what the tool's AI builds from and whether you can see what it wrote, get IT's answers on sign-in, permissions and hosting, and only then test the design by rebuilding one weekly report with your own data. The first two counts decide whether a switch can lower the bill at all.

Why do companies keep paying for Power BI?

In a Reddit thread that asked exactly this, 28 of 69 comments gave the Microsoft stack the company already runs as the reason, and 10 of them said outright that Power BI came with a licence or contract already paid for; Microsoft's pricing page says Power BI Pro is included in Microsoft 365 E5 and Office 365 E5. IT also already manages users and permissions for Microsoft tools. The decision is often made by the existing contract rather than by comparing features.

## Topics

[Analytics Tools](/blog/topics/analytics-tools)

## Related articles

[Analytics Tools · Data Analysis Tools in 2026: 19 Tools by the Job They Do · October 2, 2026](/blog/articles/data-analysis-tools)

[Analytics Tools · Data Mart vs Dashboard vs Chatbots: Which Analytics Architecture Actually Wins? · August 18, 2026](/blog/articles/data-mart-vs-dashboard-analytics-architecture)

[Analytics Tools · Best Marketing Analytics Tools in 2026: Free and Open-Source First · October 1, 2026](/blog/articles/free-marketing-analytics-tools)

[See all articles →](/blog/articles)

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## Links

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- [Analytics Tools](https://www.owox.com/blog/topics/analytics-tools) — /blog/topics/analytics-tools.md
- [comparison of AI data analyst tools](https://www.owox.com/blog/articles/ai-data-analyst-tools-comparison) — /blog/articles/ai-data-analyst-tools-comparison.md
- [Book a Demo](https://www.owox.com/book-a-call) — /book-a-call.md
- [governed self-service analytics](https://www.owox.com/blog/articles/governed-self-service-analytics) — /blog/articles/governed-self-service-analytics.md
- [OWOX Data Marts](https://www.owox.com/app-signup)
- [data model](https://www.owox.com/product/data-modeling) — /product/data-modeling.md
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- [Google Sheets destination](https://docs.owox.com/docs/destinations/supported-destinations/google-sheets)
- [the forwardable business case for governed self-service](https://www.owox.com/blog/articles/self-service-analytics-business-case) — /blog/articles/self-service-analytics-business-case.md
- [Analytics Tools · Data Analysis Tools in 2026: 19 Tools by the Job They Do · October 2, 2026](https://www.owox.com/blog/articles/data-analysis-tools) — /blog/articles/data-analysis-tools.md
- [Analytics Tools · Data Mart vs Dashboard vs Chatbots: Which Analytics Architecture Actually Wins? ·…](https://www.owox.com/blog/articles/data-mart-vs-dashboard-analytics-architecture) — /blog/articles/data-mart-vs-dashboard-analytics-architecture.md
- [Analytics Tools · Best Marketing Analytics Tools in 2026: Free and Open-Source First · October 1,…](https://www.owox.com/blog/articles/free-marketing-analytics-tools) — /blog/articles/free-marketing-analytics-tools.md
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